Research On The Detection And Identification Of Elderly People In The Centralized Pension Environment

The pressure on population aging that China is currently facing is increasing,and the pension problem is becoming a serious burden for many families.This burden is even more pronounced in one-child families.This article focuses on elderly people's location detection technology in the old-age care environment and hopes that by researching wearable devices that can detect comprehensive information on the elderly's physical condition,when the elderly are at risk,they can timely detect the alarm and timely put the position,posture and physical characteristics of the old person.Passed to medical personnel to ensure the safety of the elderly and reduce the cost of care.By comparing existing indoor positioning technology,indoor positioning based on ultrawideband(UWB)technology has the advantages of high positioning accuracy,low power consumption,against multi-path and non-line-of-sight effects compared with other positioning technologies.It is ideal for high-precision positioning using three-position positioning based on distance measurement.This paper uses DWM1000 UWB signal transceiver module to implement UWB communication ranging based on TW-TOF,and sets up a three-position positioning method minimum positioning system.In the upper computer,the distance data collected from 3 base stations to tags is calculated to achieve the indoor Experiments design the real-time location of moving people on the path.Analysis of the positioning data reveals that the UWB positioning accuracy is affected not only by multi-path and non-line-of-sight,but also by measurement errors caused by uneven distribution of UWB signals due to the placement of UWB signal base stations.In order to improve the positioning accuracy,the interactive multimodel Kalman filter is used to optimize the positioning observation data,which overcomes the problem of large single-model estimation error in the traditional Kalman filter when the target accelerates time-varying motion and reduces the Kalman filter.The "delay" error in the target turn.UWB positioning is active positioning.UWB needs to be installed with a large number of infrastructures to cover the positioning range of UWB signals.Therefore,the cost of locating hardware is high.In order to reduce the cost of positioning systems and improve the positioning effect,UWB and geomagnetism are combined to realize the detection of the position of the elderly..Geomagnetic positioning is based on the stable reliability of the indoor geomagnetic field over time,using data matching methods to achieve indoor positioning.Geomagnetic matching positioning the geomagnetic data and geomagnetic data maps measured in real time by the geomagnetic sensor are positioned according to the corresponding matching algorithm.No infrastructure such as a base station needs to be laid,so the hardware cost is low andabsence existence fundamental signal distribution unequal productivity raw measurement eccentricity.After comparing several matching algorithms,this paper uses particle filter algorithm as the matching algorithm and simulating the geomagnetic field data in the indoor environment,establishes the geomagnetic data map,and realizes geomagnetic matching positioning for the uniform moving target through simulation.Simulation experiments show that the particle filter algorithm can locate the target of uniform motion and verify the geomagnetic matching algorithm based on particle filter.However,due to the particle weight degradation problem existing in the particle filter algorithm,the positioning error increases with time.Aiming at the problem of particle weight degradation,many improvements are proposed in this paper.At present,the combination(hybrid)positioning technology has become the development trend of indoor positioning technology in recent years.This paper attempts to study the combination of UWB and geomagnetic positioning,to achieve the optimal combination of UWB positioning high accuracy and low cost of geomagnetic positioning hardware,trying to improve the positioning accuracy and range.In this paper,a combination scheme is proposed to generate the particle collection filter and the resampling process in the vicinity of the UWB positioning result.By using the geomagnetic positioning data for the UWB localization with the error,the geomagnetic positioning data is filtered again,and the geomagnetic field data is used to improve the positioning.Accuracy.The combination scheme provides some references and research basis for improving the positioning accuracy and further researching the combined positioning.